class_docstr: Abstract method that always selects the base classifier that predicts
  the correct label if such classifier exists. This method is often used to
  measure the upper-limit performance that can be achieved by a dynamic
  classifier selection technique. It is used as a benchmark by several
  dynamic selection algorithms.
  
  Parameters
  ----------
  pool_classifiers : list of classifiers (Default = None)
      The generated_pool of classifiers trained for the corresponding
      classification problem. Each base classifiers should support the method
      "predict". If None, then the pool of classifiers is a bagging
      classifier.
  
  random_state : int, RandomState instance or None, optional (default=None)
      If int, random_state is the seed used by the random number generator;
      If RandomState instance, random_state is the random number generator;
      If None, the random number generator is the RandomState instance used
      by `np.random`.
  
  n_jobs : int, default=-1
      The number of parallel jobs to run. None means 1 unless in
      a joblib.parallel_backend context. -1 means using all processors.
      Doesn’t affect fit method.
  
  References
  ----------
  Kuncheva, Ludmila I. "A theoretical study on six classifier fusion
  strategies." IEEE Transactions on Pattern Analysis & Machine Intelligence,
  (2002): 281-286.
  
  R. M. O. Cruz, R. Sabourin, and G. D. Cavalcanti, “Dynamic classifier
  selection: Recent advances and perspectives,”
  Information Fusion, vol. 41, pp. 195 – 216, 2018.
code: def __init__(
      self, pool_classifiers=None, random_state=None, n_jobs=-1
  ):
      super(Oracle, self).__init__(
          pool_classifiers=pool_classifiers,
          random_state=random_state,
          n_jobs=n_jobs,
      )
  
file_path: DESlib/deslib/static/oracle.py
imports: import numpy
  from sklearn.utils.validation import check_X_y, check_array
  from deslib.static.base import BaseStaticEnsemble
label_desc: Use image node_id 1 to create a new Oracle object from inherited base classes: BaseStaticEnsemble with example: obj = Oracle(pool_classifiers, random_state, n_jobs)